Motivated by the anomalous diffusion observed in clusters of active Brownian particles (ABPs), where the center-of-mass diffusion coefficient scales as (Formula presented) with respect to the number N of particles in the cluster, we derive a minimal theoretical framework starting from the single-particle Langevin equations. The model consists of two coupled stochastic equations: one for the cluster center-of-mass trajectory and one for the mass evolution N(t), explicitly accounting for stochastic displacements induced by particle attachment and detachment. We specialize and validate the framework against ABP simulations of isolated clusters in stationary conditions, where N(t) follows a Gaussian process with mean N 0, variance (Formula presented), and persistence time (Formula presented). Analytical solution of the coupled equations yields the long-time diffusion coefficient as the sum of two contributions: a conventional term (Formula presented) due to thermal noise plus summation of active forces, and a fluctuation-driven term (Formula presented) with (Formula presented), where d is the spatial dimension. We demonstrate that anomalous scaling emerges whenever the second term becomes dominant. The model predicts (Formula presented) with (Formula presented), in good quantitative agreement with large-scale ABP simulations.
Role of mass fluctuations in the diffusion of clusters of Brownian particles with activity
Moretti, D.;Digregorio, P.;Gonnella, G.;Suma, A.
2026-01-01
Abstract
Motivated by the anomalous diffusion observed in clusters of active Brownian particles (ABPs), where the center-of-mass diffusion coefficient scales as (Formula presented) with respect to the number N of particles in the cluster, we derive a minimal theoretical framework starting from the single-particle Langevin equations. The model consists of two coupled stochastic equations: one for the cluster center-of-mass trajectory and one for the mass evolution N(t), explicitly accounting for stochastic displacements induced by particle attachment and detachment. We specialize and validate the framework against ABP simulations of isolated clusters in stationary conditions, where N(t) follows a Gaussian process with mean N 0, variance (Formula presented), and persistence time (Formula presented). Analytical solution of the coupled equations yields the long-time diffusion coefficient as the sum of two contributions: a conventional term (Formula presented) due to thermal noise plus summation of active forces, and a fluctuation-driven term (Formula presented) with (Formula presented), where d is the spatial dimension. We demonstrate that anomalous scaling emerges whenever the second term becomes dominant. The model predicts (Formula presented) with (Formula presented), in good quantitative agreement with large-scale ABP simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


